1 HOK comparison of CASAL and Casal2 model configurations

This document compares the results of at least 2 CASAL model configurations (base and at least one sensitivity) and up to 6 Casal2 model configurations (3 BetaDiff and 3 ADOL-C).

The CASAL model sensitivity 1 has a smaller minimisation tolerance value than the CASAL base model (1e-9 vs. 1e-6).

The Casal2 ADOL-C and BetaDiff low tolerance models have a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6).

1.1 HOK model characteristics

The main characteristics of the Test Case HOK (hoki) CASAL model are:

  • one stock, ages 1 - 17
  • one area, although many characteristics are separated into “east” and “west”
  • years 1972 - 2018, projection years 2019 - 2023
  • five time steps: Oct_Nov, Dec_Mar, Apr_Jun, End_Jun, and Jul_Sep
  • five stock categories: west.sa, east.cr, west.cr, west.wc, and east.cs (labeled “stock.area”)
  • five migration processes, which have age-specific proportions specified
  • sex-specific natural mortality-at-age is double exponential
  • area-specific von Bertalanffy age-length relationship
  • area-specific length-weight relationship (\(W = aL^b\))
  • area-specific Beverton-Holt stock-recruitment relationships, with steepness (h) 0.75
  • ageing error is specified
  • surveys with double normal selectivity
  • six area-specific fisheries with double normal selectivity

Observation data include:

  • survey indices
  • survey proportions-at-age
  • fishery proportions-at-age

Parameters estimated include:

  • area-specific B0
  • parameters for the natural mortality-at-age ogive
  • catchability (q) for the surveys
  • parameters for the selectivity curves for the surveys
  • parameters for the selectivity curves for the fisheries
  • migration proportions by age
  • area-specific YCS (recruitment deviations)

1.2 R environment

## [1] "Tue Sep 28 20:28:38 2021"
## R version 3.6.3 (2020-02-29)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux 11 (bullseye)
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
## 
## locale:
##  [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8    
##  [5] LC_MONETARY=en_NZ.UTF-8    LC_MESSAGES=en_NZ.UTF-8   
##  [7] LC_PAPER=en_NZ.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] Casal2_21.08   casal_2.30     devtools_2.4.2 usethis_2.0.1  rlist_0.4.6.2 
##  [6] ggthemes_4.2.4 gridExtra_2.3  coda_0.19-4    ggmcmc_1.5.1.1 ggplot2_3.3.5 
## [11] tidyr_1.1.3    huxtable_5.4.0 dplyr_1.0.7    plyr_1.8.6    
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.7         lattice_0.20-41    prettyunits_1.1.1  ps_1.6.0          
##  [5] assertthat_0.2.1   rprojroot_2.0.2    digest_0.6.27      utf8_1.2.2        
##  [9] R6_2.5.1           evaluate_0.14      pillar_1.6.2       rlang_0.4.11      
## [13] rstudioapi_0.13    data.table_1.14.0  callr_3.7.0        jquerylib_0.1.4   
## [17] rmarkdown_2.11     desc_1.3.0         stringr_1.4.0      munsell_0.5.0     
## [21] compiler_3.6.3     xfun_0.26          pkgconfig_2.0.3    pkgbuild_1.2.0    
## [25] htmltools_0.5.2    tidyselect_1.1.1   tibble_3.1.4       reshape_0.8.8     
## [29] fansi_0.5.0        crayon_1.4.1       withr_2.4.2        grid_3.6.3        
## [33] jsonlite_1.7.2     GGally_2.1.2       gtable_0.3.0       lifecycle_1.0.0   
## [37] DBI_1.1.1          magrittr_2.0.1     scales_1.1.1       cli_3.0.1         
## [41] stringi_1.7.4      cachem_1.0.6       remotes_2.4.0      fs_1.5.0          
## [45] testthat_3.0.4     bslib_0.3.0        ellipsis_0.3.2     generics_0.1.0    
## [49] vctrs_0.3.8        RColorBrewer_1.1-2 tools_3.6.3        glue_1.4.2        
## [53] purrr_0.3.4        processx_3.5.2     pkgload_1.2.2      fastmap_1.1.0     
## [57] yaml_2.2.1         colorspace_2.0-2   sessioninfo_1.1.1  memoise_2.0.0     
## [61] knitr_1.34         sass_0.4.0

1.3 CASAL and Casal2 model output

source('../../R-functions/report_read_in_CASAL_MPD_files.R')
source('../../R-functions/report_read_in_Casal2_MPD_files.R')

1.4 Tables

Tables of parameter estimates and objective function components for the CASAL and Casal2 model MPD results

CASAL parameter estimates
rownamesBase_ModelSensitivity_1Percent_Diff
q[CSacous].q               0.431200.431200.000
q[WCacous].q               0.300300.300200.033
q[CRsum].q               0.074310.074310.000
q[SAsum].q               0.059250.059250.000
q[SAaut].q               0.067170.067170.000
relative_abundance[CRsumbio].cv_process_error0.140500.140500.000
relative_abundance[SAsumbio].cv_process_error0.430600.430600.000
log_B0_total                 14.3400014.340000.000
B0_prop_stock1                 0.328700.328700.000
natural_mortality.all             0.296000.296000.000
selectivity[Wspsl].shift_a         -0.21740-0.217400.000
recruitment[E].YCS1            0.447800.447800.000
recruitment[E].YCS2            0.726800.726800.000
recruitment[E].YCS3            0.784500.784500.000
recruitment[E].YCS4            1.360001.360000.000
recruitment[E].YCS5            0.987700.98780-0.010
recruitment[E].YCS6            0.329300.329300.000
recruitment[E].YCS7            0.447200.447200.000
recruitment[E].YCS8            0.265600.265600.000
recruitment[E].YCS9            0.434200.434200.000
recruitment[E].YCS10           0.488000.488000.000
recruitment[E].YCS11           0.395700.395700.000
recruitment[E].YCS12           0.217900.217900.000
recruitment[E].YCS13           1.036001.036000.000
recruitment[E].YCS14           0.958900.958900.000
recruitment[E].YCS15           0.429000.429000.000
recruitment[E].YCS16           0.138100.138100.000
recruitment[E].YCS17           0.375000.375000.000
recruitment[E].YCS18           0.391700.391600.026
recruitment[E].YCS19           0.383100.383100.000
recruitment[E].YCS20           0.562900.562900.000
recruitment[E].YCS21           0.264000.264000.000
recruitment[E].YCS22           0.284500.284500.000
recruitment[E].YCS23           0.450000.450000.000
recruitment[E].YCS24           0.253100.253100.000
recruitment[E].YCS25           0.060000.060000.000
recruitment[E].YCS26           0.462200.462200.000
recruitment[E].YCS27           0.161600.161600.000
recruitment[E].YCS28           0.266900.266900.000
recruitment[E].YCS29           0.500400.500400.000
recruitment[E].YCS30           0.520000.520000.000
recruitment[E].YCS31           0.508800.508800.000
recruitment[E].YCS32           0.600600.600600.000
recruitment[E].YCS33           0.522100.522100.000
recruitment[E].YCS34           0.373000.373000.000
recruitment[E].YCS35           0.526800.526800.000
recruitment[E].YCS36           0.158600.158600.000
recruitment[E].YCS37           0.660600.660600.000
recruitment[E].YCS38           0.156000.156000.000
recruitment[E].YCS39           0.185800.185800.000
recruitment[E].YCS40           0.730600.730600.000
recruitment[E].YCS41           0.739100.739000.014
recruitment[E].YCS42           1.195001.195000.000
recruitment[W].YCS1            0.457000.457000.000
recruitment[W].YCS2            0.822200.822200.000
recruitment[W].YCS3            0.670000.670000.000
recruitment[W].YCS4            0.653900.653900.000
recruitment[W].YCS5            0.465900.465900.000
recruitment[W].YCS6            0.515100.515100.000
recruitment[W].YCS7            0.578200.578200.000
recruitment[W].YCS8            0.473300.473300.000
recruitment[W].YCS9            0.871900.871900.000
recruitment[W].YCS10           0.836400.83650-0.012
recruitment[W].YCS11           0.320200.320200.000
recruitment[W].YCS12           0.165000.165000.000
recruitment[W].YCS13           1.476001.476000.000
recruitment[W].YCS14           0.772700.77280-0.013
recruitment[W].YCS15           0.081350.081350.000
recruitment[W].YCS16           0.081580.081580.000
recruitment[W].YCS17           0.892800.892800.000
recruitment[W].YCS18           1.268001.268000.000
recruitment[W].YCS19           0.377200.377200.000
recruitment[W].YCS20           0.959400.959400.000
recruitment[W].YCS21           0.221100.221100.000
recruitment[W].YCS22           0.197200.197200.000
recruitment[W].YCS23           0.237900.23800-0.042
recruitment[W].YCS24           0.202900.202900.000
recruitment[W].YCS25           0.060000.060000.000
recruitment[W].YCS26           0.373000.373000.000
recruitment[W].YCS27           0.095480.095480.000
recruitment[W].YCS28           0.795600.795600.000
recruitment[W].YCS29           0.465200.465200.000
recruitment[W].YCS30           0.516600.516600.000
recruitment[W].YCS31           0.511300.511300.000
recruitment[W].YCS32           0.755400.755400.000
recruitment[W].YCS33           0.638900.638900.000
recruitment[W].YCS34           0.616900.616900.000
recruitment[W].YCS35           0.578400.578400.000
recruitment[W].YCS36           0.145500.145500.000
recruitment[W].YCS37           0.974800.974800.000
recruitment[W].YCS38           0.160200.160200.000
recruitment[W].YCS39           0.244400.244400.000
recruitment[W].YCS40           2.197002.197000.000
recruitment[W].YCS41           2.152002.152000.000
recruitment[W].YCS42           1.195001.195000.000
migration[Whome].rates_all1      0.327800.327800.000
migration[Whome].rates_all2      0.307800.307800.000
migration[Whome].rates_all3      0.476200.476200.000
migration[Whome].rates_all4      0.141800.141800.000
migration[Whome].rates_all5      0.468500.468400.021
migration[Whome].rates_all6      0.749800.75030-0.067
migration[Whome].rates_all7      0.794700.788400.793
migration[Whome].rates_all8      1.000001.000000.000
migration[Espmg].rates_all1      0.005660.005660.000
migration[Espmg].rates_all2      0.160200.160200.000
migration[Espmg].rates_all3      0.324100.324100.000
migration[Espmg].rates_all4      0.431200.431200.000
migration[Espmg].rates_all5      0.385500.385500.000
migration[Espmg].rates_all6      0.465400.465300.021
migration[Espmg].rates_all7      0.599000.599000.000
migration[Espmg].rates_all8      0.607800.607800.000
migration[Wspmg].rates_all1      0.106100.106100.000
migration[Wspmg].rates_all2      0.287700.287700.000
migration[Wspmg].rates_all3      0.270800.270800.000
migration[Wspmg].rates_all4      0.455300.455300.000
migration[Wspmg].rates_all5      0.484700.484700.000
migration[Wspmg].rates_all6      0.527100.527100.000
migration[Wspmg].rates_all7      0.660600.660600.000
migration[Wspmg].rates_all8      0.596300.596300.000
selectivity[Enspsl].all1            3.567003.567000.000
selectivity[Enspsl].all2            1.221001.221000.000
selectivity[Enspsl].all3            15.7100015.710000.000
selectivity[Wnspsl].all1            5.341005.341000.000
selectivity[Wnspsl].all2            2.839002.839000.000
selectivity[Wnspsl].all3            13.3800013.380000.000
selectivity[Espsl].all1            10.8800010.880000.000
selectivity[Espsl].all2            11.6800011.680000.000
selectivity[Espsl].all3            3.982003.982000.000
selectivity[CRsl].all1            1.000001.000000.000
selectivity[CRsl].all2            1.000001.000000.000
selectivity[CRsl].all3            9.300009.300000.000
selectivity[SAsl].all1            14.2500014.250000.000
selectivity[SAsl].all2            8.755008.75600-0.011
selectivity[SAsl].all3            1.315001.315000.000
Casal2 parameter estimates
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_toladolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
catchability[CSacous].q               0.427240.427860.431160.438290.437700.43829
catchability[WCacous].q               0.312840.312440.300240.273030.278560.27303
catchability[CRsum].q               0.068320.068120.074310.080440.078170.08044
catchability[SAsum].q               0.067170.067060.059250.044030.046760.04403
catchability[SAaut].q               0.075780.075630.067170.047600.050600.04760
observation[CRsumbio].process_error   0.140940.140890.140480.149560.149920.14956
observation[SAsumbio].process_error   0.423640.423810.430610.409060.407640.40906
process[recruit_E].b0              548395.00000547497.00000555125.00000564399.00000561440.00000564399.00000
process[recruit_W].b0              1082670.000001083360.000001133680.000001246900.000001220960.000001246900.00000
process[Instant_mortality].m{west.sa}             0.312710.312930.295980.266320.271510.26632
time_varying[shifted_mu].a               -0.22921-0.22959-0.21744-0.17795-0.17121-0.17795
process[recruit_E].ycs_values{1975}0.445370.445900.447820.442260.443680.44226
process[recruit_E].ycs_values{1976}0.729400.730520.726800.705010.706950.70501
process[recruit_E].ycs_values{1977}0.792310.793330.784540.756370.758870.75637
process[recruit_E].ycs_values{1978}1.386451.388271.360011.293181.306631.29318
process[recruit_E].ycs_values{1979}1.002651.003720.987760.947800.954780.94780
process[recruit_E].ycs_values{1980}0.334370.334620.329320.317280.318570.31728
process[recruit_E].ycs_values{1981}0.455020.455350.447230.428960.432810.42896
process[recruit_E].ycs_values{1982}0.269740.269890.265560.256120.257380.25612
process[recruit_E].ycs_values{1983}0.441060.441000.434180.419370.421380.41937
process[recruit_E].ycs_values{1984}0.494120.494220.488040.474090.476130.47409
process[recruit_E].ycs_values{1985}0.400100.400140.395700.385620.387070.38562
process[recruit_E].ycs_values{1986}0.219780.219820.217910.213690.214360.21369
process[recruit_E].ycs_values{1987}1.041311.040951.036401.014911.015811.01491
process[recruit_E].ycs_values{1988}0.963460.963150.958910.929210.929740.92921
process[recruit_E].ycs_values{1989}0.430950.431120.428990.426520.426820.42652
process[recruit_E].ycs_values{1990}0.137970.137980.138100.139410.139370.13941
process[recruit_E].ycs_values{1991}0.373850.373350.375000.370590.369820.37059
process[recruit_E].ycs_values{1992}0.388580.387570.391640.388920.386830.38892
process[recruit_E].ycs_values{1993}0.379950.379880.383100.390870.389350.39087
process[recruit_E].ycs_values{1994}0.557940.557260.562850.553200.550710.55320
process[recruit_E].ycs_values{1995}0.261780.261780.263990.267160.266140.26716
process[recruit_E].ycs_values{1996}0.282510.282480.284470.289820.288980.28982
process[recruit_E].ycs_values{1997}0.447810.447590.450030.452270.450650.45227
process[recruit_E].ycs_values{1998}0.252640.252490.253070.251680.251280.25168
process[recruit_E].ycs_values{1999}0.060000.060000.060000.060420.060500.06042
process[recruit_E].ycs_values{2000}0.460130.459870.462200.465160.464070.46516
process[recruit_E].ycs_values{2001}0.160860.160870.161650.164960.164810.16496
process[recruit_E].ycs_values{2002}0.266110.265600.266890.264900.264230.26490
process[recruit_E].ycs_values{2003}0.499590.499430.500380.506070.505550.50607
process[recruit_E].ycs_values{2004}0.520530.520310.520030.524330.524800.52433
process[recruit_E].ycs_values{2005}0.507640.507540.508820.516680.516320.51668
process[recruit_E].ycs_values{2006}0.600130.599860.600550.607520.607600.60752
process[recruit_E].ycs_values{2007}0.520880.520800.522150.539890.539980.53989
process[recruit_E].ycs_values{2008}0.371150.370470.373000.375750.374690.37575
process[recruit_E].ycs_values{2009}0.527900.527860.526810.547720.548280.54772
process[recruit_E].ycs_values{2010}0.156950.156900.158640.165980.165140.16598
process[recruit_E].ycs_values{2011}0.660470.660290.660580.682230.681770.68223
process[recruit_E].ycs_values{2012}0.155540.155580.156000.162160.161980.16216
process[recruit_E].ycs_values{2013}0.185180.185180.185840.193370.192810.19337
process[recruit_E].ycs_values{2014}0.728440.728080.730620.770240.770710.77024
process[recruit_E].ycs_values{2015}0.755870.752310.739000.675280.680880.67528
process[recruit_E].ycs_values{2016}1.188861.189381.195151.315681.318621.31568
process[recruit_W].ycs_values{1975}0.458690.458720.457020.465440.472430.46544
process[recruit_W].ycs_values{1976}0.814220.814330.822180.877160.845280.87716
process[recruit_W].ycs_values{1977}0.685140.684940.670000.686960.670140.68696
process[recruit_W].ycs_values{1978}0.669370.669050.653900.646370.651660.64637
process[recruit_W].ycs_values{1979}0.473070.472750.465900.465570.467440.46557
process[recruit_W].ycs_values{1980}0.520640.520520.515120.517790.521020.51779
process[recruit_W].ycs_values{1981}0.583440.583280.578240.583790.588550.58379
process[recruit_W].ycs_values{1982}0.474620.474400.473280.481320.483080.48132
process[recruit_W].ycs_values{1983}0.873090.873750.871920.894500.897950.89450
process[recruit_W].ycs_values{1984}0.836330.837380.836460.864220.868740.86422
process[recruit_W].ycs_values{1985}0.319420.319750.320240.330910.332470.33091
process[recruit_W].ycs_values{1986}0.164930.164840.164970.169420.169100.16942
process[recruit_W].ycs_values{1987}1.480071.480651.475551.562281.556381.56228
process[recruit_W].ycs_values{1988}0.774540.775300.772760.813670.810270.81367
process[recruit_W].ycs_values{1989}0.081480.081470.081340.081250.081380.08125
process[recruit_W].ycs_values{1990}0.081830.081790.081580.080660.081040.08066
process[recruit_W].ycs_values{1991}0.891970.891890.892800.855220.853850.85522
process[recruit_W].ycs_values{1992}1.267571.267831.267781.247921.251111.24792
process[recruit_W].ycs_values{1993}0.376520.376480.377220.374260.375730.37426
process[recruit_W].ycs_values{1994}0.955790.955570.959390.995180.994550.99518
process[recruit_W].ycs_values{1995}0.220260.220150.221130.221630.221900.22163
process[recruit_W].ycs_values{1996}0.196320.196260.197180.186490.187070.18649
process[recruit_W].ycs_values{1997}0.236430.236780.237950.233690.235440.23369
process[recruit_W].ycs_values{1998}0.200410.200610.202920.211020.211300.21102
process[recruit_W].ycs_values{1999}0.060000.060000.060000.060350.060410.06035
process[recruit_W].ycs_values{2000}0.370890.371330.373040.379650.380490.37965
process[recruit_W].ycs_values{2001}0.095060.095100.095480.096690.096800.09669
process[recruit_W].ycs_values{2002}0.795530.795760.795580.799990.801720.79999
process[recruit_W].ycs_values{2003}0.465700.465880.465170.469520.471130.46952
process[recruit_W].ycs_values{2004}0.517610.517840.516620.521010.522790.52101
process[recruit_W].ycs_values{2005}0.513050.513140.511260.514610.516600.51461
process[recruit_W].ycs_values{2006}0.754750.754870.755440.748400.749830.74840
process[recruit_W].ycs_values{2007}0.636920.636760.638910.617220.617590.61722
process[recruit_W].ycs_values{2008}0.615640.616140.616860.605780.606370.60578
process[recruit_W].ycs_values{2009}0.573050.572920.578410.559190.557590.55919
process[recruit_W].ycs_values{2010}0.146180.146260.145470.140710.141500.14071
process[recruit_W].ycs_values{2011}0.967080.966690.974780.943590.940600.94359
process[recruit_W].ycs_values{2012}0.159090.158970.160160.155580.155130.15558
process[recruit_W].ycs_values{2013}0.244020.243890.244440.222290.221660.22229
process[recruit_W].ycs_values{2014}2.186512.184742.196572.085452.081602.08545
process[recruit_W].ycs_values{2015}2.147582.149692.152042.130782.131032.13078
process[recruit_W].ycs_values{2016}1.189091.189611.195391.315941.318881.31594
selectivity[sel_Whome].v{1}            0.321930.321360.327830.254070.248250.25407
selectivity[sel_Whome].v{2}            0.284910.283860.307780.181000.168190.18100
selectivity[sel_Whome].v{3}            0.459720.457750.476200.567480.559450.56748
selectivity[sel_Whome].v{4}            0.135490.135030.141840.310380.311660.31038
selectivity[sel_Whome].v{5}            0.437820.431690.468360.561840.548120.56184
selectivity[sel_Whome].v{6}            0.708210.718910.750260.838040.835940.83804
selectivity[sel_Whome].v{7}            0.999910.759610.788411.000001.000001.00000
selectivity[sel_Espmg].v{1}            0.005640.005640.005660.004700.004610.00470
selectivity[sel_Espmg].v{2}            0.159120.159010.160210.140820.138570.14082
selectivity[sel_Espmg].v{3}            0.320820.320560.324110.297740.294070.29774
selectivity[sel_Espmg].v{4}            0.425470.425130.431230.412110.408260.41211
selectivity[sel_Espmg].v{5}            0.379530.379260.385460.380600.378130.38060
selectivity[sel_Espmg].v{6}            0.458760.458470.465350.469400.467830.46940
selectivity[sel_Espmg].v{7}            0.590810.590440.599020.612160.612200.61216
selectivity[sel_Espmg].v{8}            0.611000.610640.607780.607420.611140.60742
selectivity[sel_Wspmg].v{1}            0.105560.105530.106140.121970.121180.12197
selectivity[sel_Wspmg].v{2}            0.291360.291390.287740.370770.375590.37077
selectivity[sel_Wspmg].v{3}            0.270680.270660.270760.271680.270780.27168
selectivity[sel_Wspmg].v{4}            0.455270.455200.455250.445890.444100.44589
selectivity[sel_Wspmg].v{5}            0.484210.484340.484660.482370.480970.48237
selectivity[sel_Wspmg].v{6}            0.524960.523980.527110.534330.532740.53433
selectivity[sel_Wspmg].v{7}            0.652980.655910.660620.674810.673920.67481
selectivity[sel_Wspmg].v{8}            0.601530.601010.596270.591520.595940.59152
selectivity[Enspsl].mu              3.573183.572273.567163.744023.753353.74402
selectivity[Enspsl].sigma_l         1.222451.222061.221081.324471.329331.32447
selectivity[Enspsl].sigma_r         49.9993050.0000015.7137010.8198011.4232010.81980
selectivity[Wnspsl].mu              5.328405.329525.3411714.3860014.5175014.38600
selectivity[Wnspsl].sigma_l         2.778152.778452.8393449.2674049.0379049.26740
selectivity[Wnspsl].sigma_r         49.9992049.9999013.378901.003821.004511.00382
selectivity[Espsl].mu              11.2567011.2547010.8788010.5010010.6273010.50100
selectivity[Espsl].sigma_l         10.8674010.8594011.6775049.9337049.9218049.93370
selectivity[Espsl].sigma_r         4.026254.029123.981653.803843.787803.80384
selectivity[CRsl].mu              1.000001.000001.000001.001991.002351.00199
selectivity[CRsl].sigma_l         46.5213046.5221046.0231049.9879049.9858049.98790
selectivity[CRsl].sigma_r         10.0928010.087809.300428.432858.570038.43285
selectivity[SAsl].mu              14.8684014.8648014.2523013.0468014.5033013.04680
selectivity[SAsl].sigma_l         8.694668.692818.7555810.6325011.7020010.63250
selectivity[SAsl].sigma_r         1.000001.000001.315192.041481.017952.04148
Casal2 parameter estimates: Percent Difference from betadiff_casal_flags_on
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_toladolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
catchability[CSacous].q               0.000-0.146-0.918-2.587-2.449-2.587
catchability[WCacous].q               0.0000.1284.02712.72610.95812.726
catchability[CRsum].q               0.0000.298-8.765-17.738-14.416-17.738
catchability[SAsum].q               0.0000.17111.79634.45030.38234.450
catchability[SAaut].q               0.0000.18811.36337.18233.22837.182
observation[CRsumbio].process_error   0.0000.0350.328-6.110-6.368-6.110
observation[SAsumbio].process_error   0.000-0.040-1.6453.4423.7763.442
process[recruit_E].b0              0.0000.164-1.227-2.918-2.379-2.918
process[recruit_W].b0              0.000-0.064-4.712-15.169-12.773-15.169
process[Instant_mortality].m{west.sa}             0.000-0.0705.34914.83613.17414.836
time_varying[shifted_mu].a               0.000-0.1665.13522.36425.30622.364
process[recruit_E].ycs_values{1975}0.000-0.118-0.5490.7000.3790.700
process[recruit_E].ycs_values{1976}0.000-0.1540.3563.3433.0773.343
process[recruit_E].ycs_values{1977}0.000-0.1280.9814.5364.2204.536
process[recruit_E].ycs_values{1978}0.000-0.1311.9076.7275.7576.727
process[recruit_E].ycs_values{1979}0.000-0.1071.4855.4714.7755.471
process[recruit_E].ycs_values{1980}0.000-0.0731.5125.1104.7255.110
process[recruit_E].ycs_values{1981}0.000-0.0721.7125.7274.8815.727
process[recruit_E].ycs_values{1982}0.000-0.0551.5515.0494.5855.049
process[recruit_E].ycs_values{1983}0.0000.0131.5594.9184.4624.918
process[recruit_E].ycs_values{1984}0.000-0.0221.2304.0533.6394.053
process[recruit_E].ycs_values{1985}0.000-0.0091.1023.6213.2573.621
process[recruit_E].ycs_values{1986}0.000-0.0220.8502.7712.4652.771
process[recruit_E].ycs_values{1987}0.0000.0350.4722.5352.4492.535
process[recruit_E].ycs_values{1988}0.0000.0320.4713.5553.4993.555
process[recruit_E].ycs_values{1989}0.000-0.0400.4551.0300.9601.030
process[recruit_E].ycs_values{1990}0.000-0.009-0.101-1.045-1.021-1.045
process[recruit_E].ycs_values{1991}0.0000.135-0.3070.8721.0770.872
process[recruit_E].ycs_values{1992}0.0000.260-0.787-0.0870.450-0.087
process[recruit_E].ycs_values{1993}0.0000.016-0.831-2.874-2.474-2.874
process[recruit_E].ycs_values{1994}0.0000.123-0.8790.8501.2960.850
process[recruit_E].ycs_values{1995}0.000-0.002-0.843-2.057-1.667-2.057
process[recruit_E].ycs_values{1996}0.0000.008-0.695-2.589-2.291-2.589
process[recruit_E].ycs_values{1997}0.0000.049-0.496-0.996-0.633-0.996
process[recruit_E].ycs_values{1998}0.0000.061-0.1700.3810.5400.381
process[recruit_E].ycs_values{1999}0.0000.0000.000-0.700-0.827-0.700
process[recruit_E].ycs_values{2000}0.0000.057-0.449-1.092-0.856-1.092
process[recruit_E].ycs_values{2001}0.000-0.007-0.489-2.547-2.454-2.547
process[recruit_E].ycs_values{2002}0.0000.191-0.2940.4530.7040.453
process[recruit_E].ycs_values{2003}0.0000.031-0.159-1.298-1.194-1.298
process[recruit_E].ycs_values{2004}0.0000.0430.097-0.731-0.821-0.731
process[recruit_E].ycs_values{2005}0.0000.021-0.233-1.781-1.709-1.781
process[recruit_E].ycs_values{2006}0.0000.046-0.070-1.230-1.244-1.230
process[recruit_E].ycs_values{2007}0.0000.014-0.244-3.651-3.669-3.651
process[recruit_E].ycs_values{2008}0.0000.184-0.500-1.239-0.954-1.239
process[recruit_E].ycs_values{2009}0.0000.0070.206-3.755-3.862-3.755
process[recruit_E].ycs_values{2010}0.0000.032-1.074-5.755-5.219-5.755
process[recruit_E].ycs_values{2011}0.0000.028-0.017-3.294-3.225-3.294
process[recruit_E].ycs_values{2012}0.000-0.030-0.293-4.256-4.139-4.256
process[recruit_E].ycs_values{2013}0.0000.002-0.355-4.424-4.122-4.424
process[recruit_E].ycs_values{2014}0.0000.049-0.299-5.737-5.803-5.737
process[recruit_E].ycs_values{2015}0.0000.4702.23110.6619.92010.661
process[recruit_E].ycs_values{2016}0.000-0.044-0.529-10.667-10.915-10.667
process[recruit_W].ycs_values{1975}0.000-0.0070.365-1.470-2.996-1.470
process[recruit_W].ycs_values{1976}0.000-0.013-0.977-7.730-3.815-7.730
process[recruit_W].ycs_values{1977}0.0000.0302.210-0.2642.190-0.264
process[recruit_W].ycs_values{1978}0.0000.0482.3123.4372.6473.437
process[recruit_W].ycs_values{1979}0.0000.0671.5171.5861.1901.586
process[recruit_W].ycs_values{1980}0.0000.0231.0610.547-0.0720.547
process[recruit_W].ycs_values{1981}0.0000.0270.892-0.059-0.876-0.059
process[recruit_W].ycs_values{1982}0.0000.0470.284-1.412-1.781-1.412
process[recruit_W].ycs_values{1983}0.000-0.0760.133-2.453-2.848-2.453
process[recruit_W].ycs_values{1984}0.000-0.125-0.016-3.335-3.876-3.335
process[recruit_W].ycs_values{1985}0.000-0.103-0.257-3.597-4.084-3.597
process[recruit_W].ycs_values{1986}0.0000.055-0.021-2.717-2.526-2.717
process[recruit_W].ycs_values{1987}0.000-0.0390.305-5.554-5.156-5.554
process[recruit_W].ycs_values{1988}0.000-0.0990.229-5.053-4.613-5.053
process[recruit_W].ycs_values{1989}0.0000.0030.1600.2750.1160.275
process[recruit_W].ycs_values{1990}0.0000.0370.3041.4250.9661.425
process[recruit_W].ycs_values{1991}0.0000.009-0.0934.1204.2744.120
process[recruit_W].ycs_values{1992}0.000-0.021-0.0171.5501.2991.550
process[recruit_W].ycs_values{1993}0.0000.011-0.1850.6020.2100.602
process[recruit_W].ycs_values{1994}0.0000.023-0.377-4.121-4.056-4.121
process[recruit_W].ycs_values{1995}0.0000.054-0.392-0.619-0.742-0.619
process[recruit_W].ycs_values{1996}0.0000.028-0.4405.0034.7105.003
process[recruit_W].ycs_values{1997}0.000-0.147-0.6441.1580.4191.158
process[recruit_W].ycs_values{1998}0.000-0.099-1.251-5.292-5.432-5.292
process[recruit_W].ycs_values{1999}0.0000.0000.000-0.575-0.680-0.575
process[recruit_W].ycs_values{2000}0.000-0.118-0.581-2.362-2.589-2.362
process[recruit_W].ycs_values{2001}0.000-0.037-0.447-1.720-1.826-1.720
process[recruit_W].ycs_values{2002}0.000-0.029-0.007-0.561-0.778-0.561
process[recruit_W].ycs_values{2003}0.000-0.0390.114-0.819-1.166-0.819
process[recruit_W].ycs_values{2004}0.000-0.0450.190-0.657-1.001-0.657
process[recruit_W].ycs_values{2005}0.000-0.0170.350-0.304-0.691-0.304
process[recruit_W].ycs_values{2006}0.000-0.015-0.0910.8410.6520.841
process[recruit_W].ycs_values{2007}0.0000.026-0.3123.0933.0353.093
process[recruit_W].ycs_values{2008}0.000-0.081-0.1981.6011.5071.601
process[recruit_W].ycs_values{2009}0.0000.024-0.9342.4192.6972.419
process[recruit_W].ycs_values{2010}0.000-0.0550.4833.7423.2003.742
process[recruit_W].ycs_values{2011}0.0000.041-0.7962.4292.7382.429
process[recruit_W].ycs_values{2012}0.0000.076-0.6742.2052.4912.205
process[recruit_W].ycs_values{2013}0.0000.052-0.1728.9059.1628.905
process[recruit_W].ycs_values{2014}0.0000.081-0.4604.6224.7984.622
process[recruit_W].ycs_values{2015}0.000-0.098-0.2080.7820.7710.782
process[recruit_W].ycs_values{2016}0.000-0.044-0.530-10.668-10.915-10.668
selectivity[sel_Whome].v{1}            0.0000.177-1.83321.07922.88721.079
selectivity[sel_Whome].v{2}            0.0000.370-8.02736.47340.96736.473
selectivity[sel_Whome].v{3}            0.0000.430-3.584-23.439-21.691-23.439
selectivity[sel_Whome].v{4}            0.0000.340-4.687-129.079-130.028-129.079
selectivity[sel_Whome].v{5}            0.0001.401-6.974-28.325-25.192-28.325
selectivity[sel_Whome].v{6}            0.000-1.511-5.938-18.332-18.035-18.332
selectivity[sel_Whome].v{7}            0.00024.03221.151-0.009-0.009-0.009
selectivity[sel_Espmg].v{1}            0.0000.080-0.33216.67618.27816.676
selectivity[sel_Espmg].v{2}            0.0000.073-0.68311.50112.91711.501
selectivity[sel_Espmg].v{3}            0.0000.078-1.0287.1938.3367.193
selectivity[sel_Espmg].v{4}            0.0000.079-1.3543.1384.0453.138
selectivity[sel_Espmg].v{5}            0.0000.069-1.563-0.2830.369-0.283
selectivity[sel_Espmg].v{6}            0.0000.063-1.436-2.318-1.976-2.318
selectivity[sel_Espmg].v{7}            0.0000.062-1.389-3.614-3.620-3.614
selectivity[sel_Espmg].v{8}            0.0000.0600.5280.587-0.0220.587
selectivity[sel_Wspmg].v{1}            0.0000.032-0.553-15.544-14.795-15.544
selectivity[sel_Wspmg].v{2}            0.000-0.0101.242-27.254-28.909-27.254
selectivity[sel_Wspmg].v{3}            0.0000.008-0.029-0.370-0.038-0.370
selectivity[sel_Wspmg].v{4}            0.0000.0170.0042.0612.4532.061
selectivity[sel_Wspmg].v{5}            0.000-0.026-0.0920.3800.6690.380
selectivity[sel_Wspmg].v{6}            0.0000.186-0.409-1.786-1.482-1.786
selectivity[sel_Wspmg].v{7}            0.000-0.449-1.171-3.344-3.207-3.344
selectivity[sel_Wspmg].v{8}            0.0000.0870.8751.6640.9301.664
selectivity[Enspsl].mu              0.0000.0250.168-4.781-5.042-4.781
selectivity[Enspsl].sigma_l         0.0000.0320.112-8.346-8.743-8.346
selectivity[Enspsl].sigma_r         0.000-0.00168.57278.36077.15378.360
selectivity[Wnspsl].mu              0.000-0.021-0.240-169.987-172.455-169.987
selectivity[Wnspsl].sigma_l         0.000-0.011-2.203-1673.389-1665.128-1673.389
selectivity[Wnspsl].sigma_r         0.000-0.00173.24297.99297.99197.992
selectivity[Espsl].mu              0.0000.0183.3576.7135.5916.713
selectivity[Espsl].sigma_l         0.0000.074-7.454-359.482-359.372-359.482
selectivity[Espsl].sigma_r         0.000-0.0711.1085.5245.9225.524
selectivity[CRsl].mu              0.0000.0000.000-0.199-0.235-0.199
selectivity[CRsl].sigma_l         0.000-0.0021.071-7.452-7.447-7.452
selectivity[CRsl].sigma_r         0.0000.0507.85116.44715.08816.447
selectivity[SAsl].mu              0.0000.0244.14412.2512.45612.251
selectivity[SAsl].sigma_l         0.0000.021-0.701-22.288-34.588-22.288
selectivity[SAsl].sigma_r         0.0000.000-31.519-104.148-1.795-104.148

CASAL objective function component values
ComponentBase_ModelSensitivity_1
CRsumbio-31.030-31.030
CSacous-9.835-9.836
SAautbio-3.984-3.984
SAsumbio-6.146-6.146
WCacous-5.916-5.916
CRsumage323.800323.800
SAautage35.12035.120
SAsumage221.100221.100
EnspOLF24.28024.280
Enspage256.100256.100
Espage581.500581.500
WnspOLF70.25070.250
Wnspage157.000157.000
Wspage364.800364.800
pspawn-13.130-13.130
pspawn_1993-6.015-6.015
prior_on_q[CSacous].q-0.839-0.839
prior_on_q[WCacous].q-1.202-1.202
prior_on_q[CRsum].q-2.207-2.207
prior_on_q[SAsum].q-1.557-1.557
prior_on_q[SAaut].q-1.762-1.762
prior_on_relative_abundance[CRsumbio].cv_process_error0.0000.000
prior_on_relative_abundance[SAsumbio].cv_process_error0.0000.000
prior_on_log_B0_total0.0000.000
prior_on_B0_prop_stock112.56012.560
prior_on_natural_mortality.all-1.217-1.217
prior_on_selectivity[Wspsl].shift_a0.3780.378
prior_on_recruitment[E].YCS-13.750-13.750
prior_on_recruitment[W].YCS-1.785-1.785
prior_on_migration[Whome].rates_all0.0000.000
prior_on_migration[Espmg].rates_all0.0000.000
prior_on_migration[Wspmg].rates_all0.0000.000
prior_on_selectivity[Enspsl].all0.0000.000
prior_on_selectivity[Wnspsl].all0.0000.000
prior_on_selectivity[Espsl].all0.0000.000
prior_on_selectivity[CRsl].all0.0000.000
prior_on_selectivity[SAsl].all0.0000.000
Umax_Ensp10.0000.000
Umax_Ensp20.0000.000
Umax_Wnsp10.0000.000
Umax_Wnsp20.0000.000
Umax_Esp0.0000.000
Umax_Wsp0.0000.000
YCS.eq.160.0000.000
sp.migr0.0130.013
Total1947.0001947.000
Casal2 objective function component values
rownamesbetadiff_casal_flags_onbetadiff_casal_flags_offbetadiff_casal_flags_on_low_toladolc_casal_flags_onadolc_casal_flags_offadolc_casal_flags_on_low_tol
observation->CSacousbio-1991                 2.3422.3442.4042.3872.3662.387
observation->CSacousbio-1993                 -0.577-0.577-0.588-0.593-0.589-0.593
observation->CSacousbio-1994                 -0.016-0.016-0.030-0.048-0.044-0.048
observation->CSacousbio-1995                 -0.562-0.562-0.567-0.572-0.572-0.572
observation->CSacousbio-1996                 -0.026-0.0270.0130.0720.0620.072
observation->CSacousbio-1997                 -0.912-0.912-0.899-0.880-0.885-0.880
observation->CSacousbio-1998                 -0.054-0.055-0.0040.0560.0390.056
observation->CSacousbio-1999                 -1.025-1.025-1.012-0.992-0.998-0.992
observation->CSacousbio-2001                 -1.217-1.217-1.211-1.203-1.206-1.203
observation->CSacousbio-2002                 -0.297-0.297-0.338-0.409-0.397-0.409
observation->CSacousbio-2003                 -0.845-0.845-0.863-0.897-0.891-0.897
observation->CSacousbio-2005                 -0.929-0.929-0.927-0.916-0.918-0.916
observation->CSacousbio-2006                 -0.939-0.939-0.950-0.971-0.970-0.971
observation->CSacousbio-2007                 -0.623-0.623-0.600-0.542-0.546-0.542
observation->CSacousbio-2008                 -1.094-1.094-1.125-1.181-1.177-1.181
observation->CSacousbio-2009                 -0.185-0.186-0.1100.0720.0520.072
observation->CSacousbio-2011                 -1.021-1.021-1.000-0.956-0.964-0.956
observation->CSacousbio-2013                 -0.892-0.892-0.855-0.826-0.843-0.826
observation->CSacousbio-2015                 -0.190-0.191-0.150-0.177-0.198-0.177
observation->CSacousbio-2017                 -1.020-1.020-1.021-0.990-0.987-0.990
observation->WCacousbio-1988                 -0.588-0.588-0.588-0.589-0.589-0.589
observation->WCacousbio-1989                 -0.183-0.184-0.168-0.064-0.078-0.064
observation->WCacousbio-1990                 -0.332-0.331-0.327-0.258-0.270-0.258
observation->WCacousbio-1991                 -0.425-0.425-0.425-0.425-0.425-0.425
observation->WCacousbio-1992                 -0.744-0.744-0.744-0.727-0.729-0.727
observation->WCacousbio-1993                 -0.369-0.371-0.374-0.496-0.485-0.496
observation->WCacousbio-1997                 -0.054-0.055-0.043-0.012-0.008-0.012
observation->WCacousbio-2000                 -1.265-1.264-1.272-1.279-1.277-1.279
observation->WCacousbio-2012                 -0.906-0.906-0.896-0.792-0.799-0.792
observation->WCacousbio-2013                 -1.079-1.079-1.079-1.066-1.067-1.066
observation->CRsumbio-1992                 -1.634-1.634-1.647-1.535-1.532-1.535
observation->CRsumbio-1993                 0.0400.0410.0430.3760.3940.376
observation->CRsumbio-1994                 -1.760-1.761-1.760-1.726-1.722-1.726
observation->CRsumbio-1995                 -1.425-1.431-1.406-1.328-1.341-1.328
observation->CRsumbio-1996                 -1.690-1.691-1.699-1.708-1.705-1.708
observation->CRsumbio-1997                 -0.607-0.609-0.635-0.824-0.822-0.824
observation->CRsumbio-1998                 -1.203-1.205-1.210-1.065-1.059-1.065
observation->CRsumbio-1999                 -0.953-0.950-0.919-0.804-0.822-0.804
observation->CRsumbio-2000                 -1.629-1.629-1.632-1.635-1.633-1.635
observation->CRsumbio-2001                 -1.773-1.773-1.775-1.730-1.728-1.730
observation->CRsumbio-2002                 -1.209-1.205-1.206-1.099-1.098-1.099
observation->CRsumbio-2003                 -1.749-1.748-1.744-1.725-1.724-1.725
observation->CRsumbio-2004                 -0.818-0.821-0.803-0.845-0.853-0.845
observation->CRsumbio-2005                 -1.471-1.470-1.477-1.460-1.458-1.460
observation->CRsumbio-2006                 -1.314-1.314-1.306-1.447-1.452-1.447
observation->CRsumbio-2007                 -0.727-0.726-0.756-0.665-0.644-0.665
observation->CRsumbio-2008                 -0.373-0.376-0.402-0.451-0.438-0.451
observation->CRsumbio-2009                 -0.586-0.587-0.559-0.599-0.615-0.599
observation->CRsumbio-2010                 -1.349-1.350-1.359-1.319-1.314-1.319
observation->CRsumbio-2011                 -1.096-1.094-1.105-1.100-1.094-1.100
observation->CRsumbio-2012                 -1.439-1.438-1.448-1.376-1.368-1.376
observation->CRsumbio-2013                 -1.494-1.494-1.491-1.433-1.433-1.433
observation->CRsumbio-2014                 -1.768-1.768-1.770-1.726-1.724-1.726
observation->CRsumbio-2016                 -1.410-1.411-1.411-1.286-1.280-1.286
observation->CRsumbio-2018                 -1.552-1.552-1.554-1.488-1.486-1.488
observation->SAsumbio-1992                 -0.597-0.596-0.588-0.695-0.692-0.695
observation->SAsumbio-1993                 -0.314-0.314-0.309-0.488-0.476-0.488
observation->SAsumbio-1994                 0.1960.1940.186-0.0010.028-0.001
observation->SAsumbio-2001                 -0.835-0.834-0.822-0.869-0.866-0.869
observation->SAsumbio-2002                 -0.794-0.794-0.777-0.818-0.823-0.818
observation->SAsumbio-2003                 -0.837-0.836-0.825-0.858-0.867-0.858
observation->SAsumbio-2004                 0.7320.7350.7340.7620.7490.762
observation->SAsumbio-2005                 -0.258-0.255-0.218-0.184-0.227-0.184
observation->SAsumbio-2006                 -0.600-0.598-0.558-0.602-0.616-0.602
observation->SAsumbio-2007                 0.6360.6370.6540.7470.8100.747
observation->SAsumbio-2008                 -0.461-0.463-0.462-0.497-0.519-0.497
observation->SAsumbio-2009                 -0.585-0.584-0.583-0.636-0.639-0.636
observation->SAsumbio-2010                 -0.143-0.146-0.147-0.152-0.154-0.152
observation->SAsumbio-2012                 -0.848-0.848-0.835-0.876-0.880-0.876
observation->SAsumbio-2013                 -0.797-0.796-0.786-0.824-0.820-0.824
observation->SAsumbio-2015                 -0.200-0.201-0.189-0.254-0.280-0.254
observation->SAsumbio-2017                 -0.638-0.638-0.620-0.693-0.701-0.693
observation->SAautbio-1992                 -1.459-1.460-1.450-1.356-1.357-1.356
observation->SAautbio-1996                 -1.233-1.232-1.250-1.271-1.256-1.271
observation->SAautbio-1998                 -1.308-1.306-1.284-1.279-1.287-1.279
observation->Espage-1988                 19.79319.79019.64019.46719.50719.467
observation->Espage-1989                 15.85815.85715.86215.87015.86515.870
observation->Espage-1990                 21.48821.48621.44621.37921.38221.379
observation->Espage-1991                 20.64120.64020.61220.51620.52120.516
observation->Espage-1992                 24.08924.09224.02023.89923.91823.899
observation->Espage-1993                 19.30519.30419.32819.45919.44919.459
observation->Espage-1994                 20.52820.52220.50320.44920.45220.449
observation->Espage-1995                 22.54122.53022.55922.53822.52622.538
observation->Espage-1996                 18.59018.59018.57718.57118.57418.571
observation->Espage-1997                 20.97420.97820.96420.87720.87520.877
observation->Espage-1998                 20.58720.57920.61120.54120.53220.541
observation->Espage-1999                 22.88622.87522.86222.66822.67122.668
observation->Espage-2000                 23.32123.32123.31423.40823.42223.408
observation->Espage-2001                 20.73520.73520.77320.80520.80020.805
observation->Espage-2002                 26.24826.24326.28726.20826.18826.208
observation->Espage-2003                 19.12019.11819.12019.07819.08019.078
observation->Espage-2004                 22.69222.69822.64222.58622.58322.586
observation->Espage-2005                 26.12226.12026.07025.97125.95925.971
observation->Espage-2006                 23.24223.24523.14923.06723.09723.067
observation->Espage-2007                 25.27425.27725.21025.15525.15725.155
observation->Espage-2008                 22.16722.16622.12922.08322.08922.083
observation->Espage-2009                 18.69118.69118.69018.67618.67418.676
observation->Espage-2010                 21.85521.85621.85121.78621.78521.786
observation->Espage-2014                 20.61620.61420.64820.62420.60720.624
observation->Espage-2015                 21.82321.82021.87021.92021.90721.920
observation->Espage-2016                 21.20421.20321.20421.20821.20921.208
observation->Espage-2017                 21.57521.57821.56321.58121.58421.581
observation->Wspage-1988                 15.72415.72915.75316.10216.22116.102
observation->Wspage-1989                 11.55511.55811.56611.69511.71511.695
observation->Wspage-1990                 11.75211.75011.79012.12912.12312.129
observation->Wspage-1991                 13.03613.03713.05113.27813.25513.278
observation->Wspage-1992                 10.17810.17910.17010.16910.16210.169
observation->Wspage-1993                 10.56910.57110.57910.49110.49810.491
observation->Wspage-1994                 9.9189.9189.9249.8429.8459.842
observation->Wspage-1995                 13.40313.39913.39613.42713.42513.427
observation->Wspage-1996                 11.84011.84111.84411.94711.93511.947
observation->Wspage-1997                 11.23011.23311.24311.38511.37811.385
observation->Wspage-1998                 11.76111.76111.76211.78511.78811.785
observation->Wspage-1999                 11.97511.97611.98112.14212.13912.142
observation->Wspage-2000                 11.25611.25611.26011.38111.37911.381
observation->Wspage-2001                 12.17912.18112.20112.29112.28012.291
observation->Wspage-2002                 9.7319.7329.7459.8049.8009.804
observation->Wspage-2003                 9.5559.5559.5569.5869.5889.586
observation->Wspage-2004                 14.34014.34214.30414.27114.28414.271
observation->Wspage-2005                 14.93214.93414.97715.12115.12515.121
observation->Wspage-2006                 13.81713.81713.87214.08814.10314.088
observation->Wspage-2007                 11.49811.50011.51611.53011.53111.530
observation->Wspage-2008                 12.19512.19612.19412.01111.98812.011
observation->Wspage-2009                 12.63112.63512.59412.24212.20912.242
observation->Wspage-2010                 11.31611.31711.29911.22011.20911.220
observation->Wspage-2011                 11.15411.15511.13711.09311.09111.093
observation->Wspage-2012                 11.86711.86611.86011.85111.84711.851
observation->Wspage-2013                 11.04111.04311.06511.08111.07011.081
observation->Wspage-2014                 12.94412.94412.94112.93712.93612.937
observation->Wspage-2015                 13.13413.13613.10113.00913.01213.009
observation->Wspage-2016                 14.27214.26814.27314.32414.33114.324
observation->Wspage-2017                 13.74513.74613.79714.07014.06514.070
observation->EnspOLF-1992                 4.3974.3964.3884.3034.2954.303
observation->EnspOLF-1994                 6.6476.6456.6786.6456.6456.645
observation->EnspOLF-1996                 7.8977.8997.9067.7607.7467.760
observation->EnspOLF-1998                 5.3015.3015.3035.2055.2055.205
observation->Enspage-1999                 14.33214.33114.28714.42814.45514.428
observation->Enspage-2000                 13.97513.97313.96014.04414.04914.044
observation->Enspage-2001                 13.97913.95913.92913.86013.86513.860
observation->Enspage-2002                 12.08112.08712.07812.00812.00112.008
observation->Enspage-2003                 9.7009.7029.7069.7219.7229.721
observation->Enspage-2004                 12.96612.97212.98612.79312.79312.793
observation->Enspage-2005                 11.01211.00911.00910.95610.96410.956
observation->Enspage-2006                 12.74112.74412.71212.87812.88912.878
observation->Enspage-2007                 11.06111.06011.05211.11211.10711.112
observation->Enspage-2008                 12.10412.10012.10112.19412.19012.194
observation->Enspage-2009                 10.05610.05510.05510.04310.05110.043
observation->Enspage-2010                 17.58117.57617.62717.53417.53917.534
observation->Enspage-2011                 13.39913.40213.41213.32413.31213.324
observation->Enspage-2012                 13.14913.14813.13413.02313.01213.023
observation->Enspage-2013                 16.69416.69116.65916.73816.73416.738
observation->Enspage-2014                 13.86913.86813.87013.89813.91413.898
observation->Enspage-2015                 12.76012.76412.77612.80312.79212.803
observation->Enspage-2016                 19.22419.22219.20319.27619.30319.276
observation->Enspage-2017                 15.56215.55215.51115.57015.59715.570
observation->WnspOLF-1992                 10.12210.12410.12911.38911.33011.389
observation->WnspOLF-1993                 9.0459.0478.9919.9699.9529.969
observation->WnspOLF-1994                 15.93015.93115.89319.18519.11119.185
observation->WnspOLF-1996                 9.7889.7849.7528.9888.9318.988
observation->WnspOLF-1999                 11.55311.55311.59310.81310.86710.813
observation->WnspOLF-2000                 13.81213.81713.89214.03714.07914.037
observation->Wnspage-2001                 8.0328.0367.9948.3568.3448.356
observation->Wnspage-2002                 8.7158.7148.7018.5808.6018.580
observation->Wnspage-2003                 10.47310.47310.50710.57210.61210.572
observation->Wnspage-2004                 7.1557.1547.1407.0467.0647.046
observation->Wnspage-2006                 9.5899.5909.55110.0459.99510.045
observation->Wnspage-2007                 10.86110.86010.82211.41411.40011.414
observation->Wnspage-2008                 12.42512.42212.43512.94412.94412.944
observation->Wnspage-2009                 14.71614.71914.79014.12314.16014.123
observation->Wnspage-2010                 11.40511.40511.37011.46811.46711.468
observation->Wnspage-2011                 11.26711.26511.27511.09611.09511.096
observation->Wnspage-2012                 10.45410.45310.46510.78910.77910.789
observation->Wnspage-2013                 13.63313.63413.63413.71013.68813.710
observation->Wnspage-2014                 12.60812.60912.59711.22811.24011.228
observation->Wnspage-2016                 15.68715.68315.72214.86114.88714.861
observation->CRsumage-1992                 15.58415.57015.56614.74314.73414.743
observation->CRsumage-1993                 10.61610.61310.62410.56010.55210.560
observation->CRsumage-1994                 18.17018.17418.13017.55017.54917.550
observation->CRsumage-1995                 14.28514.28714.24213.64513.65213.645
observation->CRsumage-1996                 11.56711.56611.60711.10311.09211.103
observation->CRsumage-1997                 15.75415.75015.68815.39115.41215.391
observation->CRsumage-1998                 14.69014.68614.69013.37013.34813.370
observation->CRsumage-1999                 12.06112.06112.08412.38912.38212.389
observation->CRsumage-2000                 14.32314.32614.28314.69214.72914.692
observation->CRsumage-2001                 19.65919.65119.52018.88718.91618.887
observation->CRsumage-2002                 10.96910.97110.96011.02111.02211.021
observation->CRsumage-2003                 11.25111.25411.21011.14811.16511.148
observation->CRsumage-2004                 9.5539.5569.5619.1149.0979.114
observation->CRsumage-2005                 12.75312.74912.65412.37112.40712.371
observation->CRsumage-2006                 10.31610.31710.31711.08111.11211.081
observation->CRsumage-2007                 13.56213.56113.50413.09313.09413.093
observation->CRsumage-2008                 11.66111.66511.63911.73611.75211.736
observation->CRsumage-2009                 12.00612.00211.96511.99212.01611.992
observation->CRsumage-2010                 11.04811.05211.05511.66411.69111.664
observation->CRsumage-2011                 12.57912.57712.57113.65613.71213.656
observation->CRsumage-2012                 17.22817.23017.14116.22616.26216.226
observation->CRsumage-2013                 11.84311.84511.82212.72512.78512.725
observation->CRsumage-2014                 11.28611.28811.27111.41111.42511.411
observation->CRsumage-2016                 9.8669.8679.84710.36110.40110.361
observation->CRsumage-2018                 11.93111.93511.89512.54612.58312.546
observation->SAsumage-1992                 12.24612.24112.26912.08312.13112.083
observation->SAsumage-1993                 12.47012.48312.50212.72412.75512.724
observation->SAsumage-1994                 10.81110.80810.81810.91410.92810.914
observation->SAsumage-2001                 12.74912.76212.83912.96413.00112.964
observation->SAsumage-2002                 12.20912.21612.25412.33912.44212.339
observation->SAsumage-2003                 13.38613.38813.38613.46313.61313.463
observation->SAsumage-2004                 11.06711.06411.00511.06611.10311.066
observation->SAsumage-2005                 15.27815.28015.38615.83915.76915.839
observation->SAsumage-2006                 14.11214.11014.07814.29514.23614.295
observation->SAsumage-2007                 10.64910.64910.63910.66710.76610.667
observation->SAsumage-2008                 13.77113.76613.83614.10113.93414.101
observation->SAsumage-2009                 15.51315.52015.53015.81815.73915.818
observation->SAsumage-2010                 15.08115.08215.13015.66715.57415.667
observation->SAsumage-2012                 13.43713.43913.47913.40513.41213.405
observation->SAsumage-2013                 11.95411.95611.98212.02112.02312.021
observation->SAsumage-2015                 13.52213.52413.54014.05914.06814.059
observation->SAsumage-2017                 12.49212.48712.47812.56012.56712.560
observation->SAautage-1992                 11.80911.81911.85712.18412.21912.184
observation->SAautage-1996                 10.44910.45010.42610.58310.56810.583
observation->SAautage-1998                 12.80912.81012.83512.86712.90212.867
observation->pspawn_1993                 -6.017-6.016-6.015-5.898-5.880-5.898
observation->pspawn-1992                 -4.848-4.852-4.829-4.743-4.800-4.743
observation->pspawn-1998                 -8.284-8.291-8.300-8.249-8.225-8.249
prior->CSacousq->catchability[CSacous].q               -0.849-0.847-0.839-0.821-0.822-0.821
prior->WCacousq->catchability[WCacous].q               -1.162-1.163-1.202-1.282-1.267-1.282
prior->CRsumq->catchability[CRsum].q               -2.155-2.153-2.207-2.237-2.228-2.237
prior->SAsumq->catchability[SAsum].q               -1.762-1.760-1.557-0.874-1.035-0.874
prior->SAautq->catchability[SAaut].q               -1.913-1.911-1.762-1.081-1.229-1.081
prior->CR_process_error->observation[CRsumbio].process_error   0.0000.0000.0000.0000.0000.000
prior->SA_process_error->observation[SAsumbio].process_error   0.0000.0000.0000.0000.0000.000
prior->B0_E_with_total_log_b0_prior->process[recruit_E].b0              0.0000.0000.0000.0000.0000.000
prior->B0_W_with_proportion_prior->process[recruit_W].b0              12.54412.54512.55512.61212.59712.612
prior->M_all->process[Instant_mortality].m{west.sa}             -1.085-1.083-1.217-1.103-1.160-1.103
prior->Wspsl_shift_param->time_varying[shifted_mu].a               0.4200.4220.3780.2530.2340.253
prior->YCS_E->process[recruit_E].ycs_values{1975}-0.624-0.624-0.623-0.626-0.625-0.626
prior->YCS_E->process[recruit_E].ycs_values{1976}-0.316-0.314-0.319-0.349-0.346-0.349
prior->YCS_E->process[recruit_E].ycs_values{1977}-0.227-0.225-0.238-0.278-0.274-0.278
prior->YCS_E->process[recruit_E].ycs_values{1978}0.6540.6560.6150.5170.5370.517
prior->YCS_E->process[recruit_E].ycs_values{1979}0.0840.0860.0620.0020.0130.002
prior->YCS_E->process[recruit_E].ycs_values{1980}-0.630-0.630-0.627-0.617-0.618-0.617
prior->YCS_E->process[recruit_E].ycs_values{1981}-0.619-0.619-0.623-0.632-0.631-0.632
prior->YCS_E->process[recruit_E].ycs_values{1982}-0.550-0.551-0.542-0.520-0.523-0.520
prior->YCS_E->process[recruit_E].ycs_values{1983}-0.627-0.627-0.630-0.636-0.635-0.636
prior->YCS_E->process[recruit_E].ycs_values{1984}-0.591-0.591-0.596-0.606-0.605-0.606
prior->YCS_E->process[recruit_E].ycs_values{1985}-0.641-0.641-0.642-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1986}-0.408-0.408-0.400-0.383-0.386-0.383
prior->YCS_E->process[recruit_E].ycs_values{1987}0.1420.1420.1350.1030.1040.103
prior->YCS_E->process[recruit_E].ycs_values{1988}0.0260.0250.019-0.026-0.025-0.026
prior->YCS_E->process[recruit_E].ycs_values{1989}-0.631-0.631-0.632-0.633-0.633-0.633
prior->YCS_E->process[recruit_E].ycs_values{1990}0.1590.1590.1580.1430.1430.143
prior->YCS_E->process[recruit_E].ycs_values{1991}-0.643-0.643-0.643-0.643-0.642-0.643
prior->YCS_E->process[recruit_E].ycs_values{1992}-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1993}-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{1994}-0.530-0.531-0.525-0.535-0.538-0.535
prior->YCS_E->process[recruit_E].ycs_values{1995}-0.534-0.534-0.538-0.545-0.543-0.545
prior->YCS_E->process[recruit_E].ycs_values{1996}-0.574-0.573-0.577-0.585-0.584-0.585
prior->YCS_E->process[recruit_E].ycs_values{1997}-0.623-0.623-0.622-0.620-0.621-0.620
prior->YCS_E->process[recruit_E].ycs_values{1998}-0.512-0.511-0.513-0.509-0.508-0.509
prior->YCS_E->process[recruit_E].ycs_values{1999}2.0142.0142.0141.9941.9901.994
prior->YCS_E->process[recruit_E].ycs_values{2000}-0.616-0.616-0.614-0.612-0.613-0.612
prior->YCS_E->process[recruit_E].ycs_values{2001}-0.065-0.065-0.071-0.098-0.097-0.098
prior->YCS_E->process[recruit_E].ycs_values{2002}-0.543-0.542-0.545-0.540-0.539-0.540
prior->YCS_E->process[recruit_E].ycs_values{2003}-0.586-0.586-0.585-0.581-0.581-0.581
prior->YCS_E->process[recruit_E].ycs_values{2004}-0.568-0.568-0.568-0.564-0.564-0.564
prior->YCS_E->process[recruit_E].ycs_values{2005}-0.579-0.579-0.578-0.571-0.571-0.571
prior->YCS_E->process[recruit_E].ycs_values{2006}-0.483-0.483-0.482-0.474-0.474-0.474
prior->YCS_E->process[recruit_E].ycs_values{2007}-0.567-0.567-0.566-0.549-0.549-0.549
prior->YCS_E->process[recruit_E].ycs_values{2008}-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_E->process[recruit_E].ycs_values{2009}-0.561-0.561-0.562-0.541-0.540-0.541
prior->YCS_E->process[recruit_E].ycs_values{2010}-0.031-0.031-0.046-0.106-0.100-0.106
prior->YCS_E->process[recruit_E].ycs_values{2011}-0.408-0.408-0.408-0.380-0.380-0.380
prior->YCS_E->process[recruit_E].ycs_values{2012}-0.019-0.019-0.023-0.076-0.074-0.076
prior->YCS_E->process[recruit_E].ycs_values{2013}-0.238-0.238-0.242-0.285-0.282-0.285
prior->YCS_E->process[recruit_E].ycs_values{2014}-0.317-0.317-0.314-0.258-0.258-0.258
prior->YCS_E->process[recruit_E].ycs_values{2015}-0.279-0.284-0.302-0.389-0.381-0.389
prior->YCS_E->process[recruit_E].ycs_values{2016}0.3630.3640.3730.5500.5550.550
prior->YCS_W->process[recruit_W].ycs_values{1975}-0.616-0.616-0.617-0.612-0.607-0.612
prior->YCS_W->process[recruit_W].ycs_values{1976}-0.195-0.195-0.184-0.103-0.150-0.103
prior->YCS_W->process[recruit_W].ycs_values{1977}-0.376-0.376-0.396-0.373-0.395-0.373
prior->YCS_W->process[recruit_W].ycs_values{1978}-0.396-0.397-0.417-0.426-0.419-0.426
prior->YCS_W->process[recruit_W].ycs_values{1979}-0.607-0.607-0.612-0.612-0.611-0.612
prior->YCS_W->process[recruit_W].ycs_values{1980}-0.567-0.568-0.573-0.570-0.567-0.570
prior->YCS_W->process[recruit_W].ycs_values{1981}-0.502-0.502-0.508-0.502-0.496-0.502
prior->YCS_W->process[recruit_W].ycs_values{1982}-0.606-0.606-0.607-0.601-0.599-0.601
prior->YCS_W->process[recruit_W].ycs_values{1983}-0.109-0.108-0.111-0.077-0.072-0.077
prior->YCS_W->process[recruit_W].ycs_values{1984}-0.163-0.161-0.163-0.122-0.115-0.122
prior->YCS_W->process[recruit_W].ycs_values{1985}-0.619-0.619-0.620-0.628-0.629-0.628
prior->YCS_W->process[recruit_W].ycs_values{1986}-0.098-0.097-0.098-0.132-0.130-0.132
prior->YCS_W->process[recruit_W].ycs_values{1987}0.7880.7890.7820.9040.8960.904
prior->YCS_W->process[recruit_W].ycs_values{1988}-0.252-0.251-0.255-0.196-0.201-0.196
prior->YCS_W->process[recruit_W].ycs_values{1989}1.2071.2071.2111.2141.2101.214
prior->YCS_W->process[recruit_W].ycs_values{1990}1.1971.1981.2041.2311.2201.231
prior->YCS_W->process[recruit_W].ycs_values{1991}-0.081-0.081-0.080-0.135-0.137-0.135
prior->YCS_W->process[recruit_W].ycs_values{1992}0.4800.4800.4800.4510.4550.451
prior->YCS_W->process[recruit_W].ycs_values{1993}-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_W->process[recruit_W].ycs_values{1994}0.0140.0140.0200.0730.0720.073
prior->YCS_W->process[recruit_W].ycs_values{1995}-0.410-0.409-0.413-0.415-0.416-0.415
prior->YCS_W->process[recruit_W].ycs_values{1996}-0.301-0.301-0.306-0.246-0.250-0.246
prior->YCS_W->process[recruit_W].ycs_values{1997}-0.466-0.467-0.471-0.457-0.463-0.457
prior->YCS_W->process[recruit_W].ycs_values{1998}-0.322-0.323-0.334-0.372-0.373-0.372
prior->YCS_W->process[recruit_W].ycs_values{1999}2.0142.0142.0141.9971.9941.997
prior->YCS_W->process[recruit_W].ycs_values{2000}-0.643-0.643-0.643-0.643-0.643-0.643
prior->YCS_W->process[recruit_W].ycs_values{2001}0.8560.8550.8460.8190.8170.819
prior->YCS_W->process[recruit_W].ycs_values{2002}-0.222-0.222-0.222-0.216-0.213-0.216
prior->YCS_W->process[recruit_W].ycs_values{2003}-0.612-0.612-0.612-0.609-0.608-0.609
prior->YCS_W->process[recruit_W].ycs_values{2004}-0.570-0.570-0.571-0.567-0.565-0.567
prior->YCS_W->process[recruit_W].ycs_values{2005}-0.574-0.574-0.576-0.573-0.571-0.573
prior->YCS_W->process[recruit_W].ycs_values{2006}-0.280-0.280-0.279-0.289-0.287-0.289
prior->YCS_W->process[recruit_W].ycs_values{2007}-0.438-0.438-0.436-0.462-0.462-0.462
prior->YCS_W->process[recruit_W].ycs_values{2008}-0.464-0.464-0.463-0.476-0.475-0.476
prior->YCS_W->process[recruit_W].ycs_values{2009}-0.514-0.514-0.508-0.529-0.531-0.529
prior->YCS_W->process[recruit_W].ycs_values{2010}0.0710.0700.0780.1290.1200.129
prior->YCS_W->process[recruit_W].ycs_values{2011}0.0310.0300.043-0.004-0.009-0.004
prior->YCS_W->process[recruit_W].ycs_values{2012}-0.050-0.049-0.059-0.019-0.015-0.019
prior->YCS_W->process[recruit_W].ycs_values{2013}-0.489-0.488-0.490-0.417-0.415-0.417
prior->YCS_W->process[recruit_W].ycs_values{2014}1.7301.7271.7421.6031.5981.603
prior->YCS_W->process[recruit_W].ycs_values{2015}1.6811.6841.6871.6601.6601.660
prior->YCS_W->process[recruit_W].ycs_values{2016}0.3630.3640.3730.5510.5550.551
prior->sel_Whome->selectivity[sel_Whome].v{1}            0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{2}            0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{3}            0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{4}            0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{5}            0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{6}            0.0000.0000.0000.0000.0000.000
prior->sel_Whome->selectivity[sel_Whome].v{7}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{1}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{2}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{3}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{4}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{5}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{6}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{7}            0.0000.0000.0000.0000.0000.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{8}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{1}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{2}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{3}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{4}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{5}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{6}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{7}            0.0000.0000.0000.0000.0000.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{8}            0.0000.0000.0000.0000.0000.000
prior->Enspsl_mu->selectivity[Enspsl].mu              0.0000.0000.0000.0000.0000.000
prior->Enspsl_s_l->selectivity[Enspsl].sigma_l         0.0000.0000.0000.0000.0000.000
prior->Enspsl_s_r->selectivity[Enspsl].sigma_r         0.0000.0000.0000.0000.0000.000
prior->Wnspsl_mu->selectivity[Wnspsl].mu              0.0000.0000.0000.0000.0000.000
prior->Wnspsl_s_l->selectivity[Wnspsl].sigma_l         0.0000.0000.0000.0000.0000.000
prior->Wnspsl_s_r->selectivity[Wnspsl].sigma_r         0.0000.0000.0000.0000.0000.000
prior->Espsl_mu->selectivity[Espsl].mu              0.0000.0000.0000.0000.0000.000
prior->Espsl_s_l->selectivity[Espsl].sigma_l         0.0000.0000.0000.0000.0000.000
prior->Espsl_s_r->selectivity[Espsl].sigma_r         0.0000.0000.0000.0000.0000.000
prior->CRsl_mu->selectivity[CRsl].mu              0.0000.0000.0000.0000.0000.000
prior->CRsl_s_l->selectivity[CRsl].sigma_l         0.0000.0000.0000.0000.0000.000
prior->CRsl_s_r->selectivity[CRsl].sigma_r         0.0000.0000.0000.0000.0000.000
prior->SAsl_mu->selectivity[SAsl].mu              0.0000.0000.0000.0000.0000.000
prior->SAsl_s_l->selectivity[SAsl].sigma_l         0.0000.0000.0000.0000.0000.000
prior->SAsl_s_r->selectivity[SAsl].sigma_r         0.0000.0000.0000.0000.0000.000
additional_prior->YCS.eq.16              0.0000.0000.0000.0000.0000.000
additional_prior->sp.migr            0.0090.0090.0130.0250.0230.025
jacobian->log_sum_b0                 0.0000.0000.0000.0000.0000.000
total_negloglike                 1946.8101946.8001946.5401954.5801954.6701954.580
total_score                 1946.8101946.8001946.5401954.5801954.6701954.580

## [1] "CASAL base model convergence information"
## [1] "fmm: have converged: t = 8.24015e-007 f = 1946.54"                                                        
## [2] "Successful convergence in optimise"                                                                       
## [3] "Minimiser achieved convergence after 599 quasi-Newton iterations using 669 objective function evaluations"
## [1] ""
## [1] "CASAL sensitivity 1 model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [3] "Minimiser achieved convergence after 665 quasi-Newton iterations using 765 objective function evaluations"               
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model convergence information"
## [1] "fmm: have converged: t = 6.55824e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model convergence information"
## [1] "fmm: have converged: t = 5.37067e-07 f = 1946.8"
## [2] "Successful convergence in optimise"             
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"            
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"            
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"
## [1] "CASAL model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "CASAL sensitivity 1 model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [8] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [9] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [10] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [11] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
## [12] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
## [13] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [14] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [15] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [16] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [17] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [18] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [19] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [7] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [8] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [9] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [10] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
## [11] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
## [12] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [13] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [14] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [15] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [16] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [17] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"

1.5 Matching of outputs

Time series comparisons with CASAL base model results

## [1] "Catch time series base model comparison for run betadiff_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""

Derived quantities

SB0, SBcurrent, MSY, F_MSY, others…

1.6 Plots

Comparison plots

## [1] "CASAL base parameter correlation range (excluding 1.0): -0.9914 0.9969"

## [1] "CASAL sensitivity 1 parameter correlation range (excluding 1.0): -0.9324 0.9968"

## [1] "Casal2 betadiff_casal_flags_on parameter correlation range (excluding 1.0): -0.890942874908357 0.996776606630884"
## Warning in min(x): no non-missing arguments to min; returning Inf
## Warning in max(x): no non-missing arguments to max; returning -Inf

## [1] "Casal2 betadiff_casal_flags_off parameter correlation range (excluding 1.0): Inf -Inf"

## [1] "Casal2 betadiff_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.939452660139753 0.996798182627236"

## [1] "Casal2 adolc_casal_flags_on parameter correlation range (excluding 1.0): -0.883243800438931 0.996698553552037"

## [1] "Casal2 adolc_casal_flags_off parameter correlation range (excluding 1.0): -0.887199176292272 0.996753693490936"

## [1] "Casal2 adolc_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.928187528764059 0.99670453783595"